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Unlock the true potential of your data goldmine
Incorrect data can impact business on many levels, from functional reports to time-consuming data error resolutions. Sigmoid DataGuard streamlines and enhances decision-making by assessing, monitoring, validating, and improving the quality of data.
With predefined rules, the solution drives data quality with a high degree of reusability across enterprise use-cases. It controls the quality of data flowing in and out of various systems with visual reports on data health to enable quick identification of any issue and faster resolution. Achieve maximum value from your business-critical applications with fit-for-purpose data.
Sigmoid DataGuard features
Data pipeline monitoring
Monitor or investigate data pipelines to understand data health and performance over intuitive dashboards.
Customizable data validation
Customize data validation rules as per requirements/ use-case to modify and automate source data investigation, standardization, or record matching.
Self-service quality control
Access data quality reports, manage datasets, and apply custom rules over a centralized portal.
Data quality review
Monitor and alert on data SLAs, unexpected column changes, and null records before they impact your consumers.
Data lineage and impact analysis
Track end-to-end lineage to identify differences in schema, column sequence, row count, or values, and execute rules at the source or destination for a smooth reconciliation.
Incident management
Analyze data incident impacts on all workflows, investigate data incidents, and resolve issues with email alerts and diagnostic reports.
Sigmoid DataGuard is a holistic solution for all your data quality needs:
- Data quality monitoring and reporting
- Data standardization and cleansing
- Metadata, lineage, and profiling
- Data validation and preparation
- External data enrichment
- Data observability
- Issue tracking & resolution
- Data masking
- Deduplication
Customer success story
Enterprise-grade data quality platform transforms data governance for a multinational consumer goods manufacturing company with 99% faster data quality checks
- 1.5 TB of data scanned and processed per day
- Easy integration into existing workflows and data sources
- High data governance for every use case
Benefits of Sigmoid DataGuard
Automate data quality with customized prompts
Configure once, assign to a business domain, and get high-quality data at every instance. Get proactive prompts to ensure data accuracy.
Domain-specific data health over interactive UI
View data health reports to gain insights into data quality and facilitate governance for every use case. Interact with the rules engine and metadata for greater control.
Plug-n-play with easy integration
Integrate with existing source systems, databases, data stores, platforms, or new data anytime. Configure rules, and execute data quality checks automatically.
Sigmoid DataGuard improves the quality of your enterprise data at scale
The solution proactively identifies, rectifies, and prevents data quality issues throughout the data lifecycle for optimum performance. It is a scalable solution that seamlessly integrates into any environment, swiftly executing data quality tasks with minimal manual intervention.
Different users and teams can leverage Sigmoid DataGuard for different business needs
Data Leaders like CDO/Data Quality Manager
Assess overall data health with scorecards showing quality metrics, trends, and areas needing attention. Monitor KPIs, compliance metrics, and the effectiveness of data governance processes using intuitive dashboards.
Business Users including Database Administrators (DBAs)/ Quality assurance (QA) Testers
Share data quality scorecards and reports seamlessly via email to monitor data integrity at every step. Set quality rules for validation, configuration, and testing at the domain level with relevant business context.
Data Stewards or Data Governance Team
Define and enforce data quality standards using governance features, ensuring compliance with organizational policies. Collaborate for resolving data quality issues and implementing governance policies.
Data Engineers, Architects or Analysts
Validate data at surface or metadata levels, employing methods like API checks for pre-landing issue prevention and anomaly monitoring for warehouse or lake house detection.
Our other accelerators
Sigmoid CloudPulse
A platform that allows a granular level of cloud resource utilization and allocation analysis, cost optimization, real-time performance monitoring, and multi-cloud management to help you achieve better cost-efficiency.
Sigmoid DataConnect
Integrated and secure data pipelines that help you gain better visibility across the enterprise, generate quality insights, and make informed decisions.